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In this study, 668 Corriedale ewes lambing, the number of live lambs, by the effort, pregnancy maintenance and multi-fetal five reproductive traits 1261 and 1188 Corriedale lambs of primary re-recording. The following steps were analyzed: (1) the use of SPSS software GLM procedure fixed effects analysis to filter discrete reproductive traits Genetic analysis model included fixed effects. Screened fixed effects of year of birth (11 levels), month of birth (2 levels), level the lambing Year (14), lambing month (three levels), age (eight levels) and parity (8 levels) 6 main effect of non-genetic factors. The results show that the year of birth, age, year of lambing and parity significant impact on the the lambing number of multiple births; year of birth, age, year of lambing, lambing month and parity were maintained on the number of live lambs and pregnancy significantly; year of birth, month of birth, age, lambing year and parity on the energy of the impact is significant. (2) discrete reproductive traits with the threshold model, with a single trait and multiple trait Gibbs sampling to estimate genetic parameters. Multiple trait Gibbs sampling, a sampling of the two traits, heritability and genetic correlations averaged last. Gibbs chain convergence and with a variety of methods for diagnosis. The results show that the single trait and multi-trait analysis of litter size, the number of live lambs, by the effort, maintain pregnancy and multiple births heritability was 0.097 ± 0.052,0.100 ± 0.036,0.119 ± 0.058,0.103 ± 0.043,0.130 ± 0.041 and 0.305 ± 0.049,0.296 ± 0.047,0.016 ± 0.012,0.015 ± 0.010,0.261 ± 0.045. Discrete breeding traits related to the average genetic In addition to the the lambing number of multiple births and energy between negatively correlated (-0.008 ± 0.384, -0.016 ± 0.422) outside; remaining traits Genetic correlation estimates ranged from 0.004 ± 0.357 0.982 ± 0.007. Lambing, the number of live lambs, by the effort to maintain pregnancy, multiple births and birth weight repeatability valuation of 0.320,0.435,0.208,0.476,0.410 and 0.426, respectively. ③ discrete breeding traits as threshold traits, birth weight as a continuous traits, with an estimated genetic correlation between discrete reproductive traits and the birth weight and birth weight heritability. The model included fixed effects for the year of birth (17 levels), month of birth (three levels), gender (two levels), type of birth (2 levels). The results showed that litter size in the number of live lambs, by the energy, to maintain pregnancy, genetic correlation between multiple births and birth weight were 0.142 ± 0.364,0.111 ± 0.352,0.208 ± 0.343,0.246 ± 0.335 and 0.093 ± 0.371. Birth weight heritability was 0.004 ± 0.025.
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